{"id":"W3178671133","doi":"10.24908/pceea.vi0.14824","title":"GRADUATE ATTRIBUTE MANAGEMENT: MAPPING UNIVERSITY GENERIC ATTRIBUTES TO THOSE OF THE CANADIAN ENGINEERING ACCREDITATION BOARD","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Accreditation; Process (computing); Intersection (aeronautics); Exploratory research; Curriculum; Computer science; Engineering management; Engineering; Medical education; Psychology; Pedagogy; Sociology; Transport engineering; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003381536,0.0002298153,0.0002199567,0.0005409976,0.0002285985,0.00009498884,0.0004859106,0.0001521767,0.00002076127],"category_scores_gemma":[0.000449714,0.000242641,0.0001298654,0.00215216,0.00001132582,0.0001941696,0.00005830933,0.000282664,0.00001068813],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004949674,"about_ca_system_score_gemma":0.001062897,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01428972,"about_ca_topic_score_gemma":0.05224993,"domain_scores_codex":[0.9985131,0.000009295701,0.0003468133,0.0002287439,0.0004273169,0.0004747553],"domain_scores_gemma":[0.9984435,0.00003598232,0.0001529108,0.0002069324,0.0007778505,0.0003827855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000003649166,0.0001547118,0.1175426,0.003230665,0.001391072,0.000003423943,0.01049175,0.5027913,0.02028347,0.02902861,0.3112841,0.003794631],"study_design_scores_gemma":[0.0002502275,0.000006339297,0.7947375,0.0006190194,0.0001097352,0.000006661447,0.0013116,0.008738794,0.01223716,0.00003551807,0.1813598,0.0005876776],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724548,0.0003420874,0.0006551472,0.01072395,0.009297864,0.001128442,0.0001986922,0.0003490312,0.004850017],"genre_scores_gemma":[0.9935946,0.00004257863,0.003958337,0.0001521737,0.0001322944,0.0000334132,0.00003151128,0.00005107337,0.002003953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6771948,"threshold_uncertainty_score":0.9988701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0145885104781418,"score_gpt":0.1854024198253473,"score_spread":0.1708139093472055,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}